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Smoothed particle hydrodynamics and magnetohydrodynamics

Open access
Price, Daniel J.·2012·Journal of Computational Physics

Abstract

This paper presents an overview and introduction to smoothed particle hydrodynamics and magnetohydrodynamics in theory and in practice. Firstly, we give a basic grounding in the fundamentals of SPH, showing how the equations of motion and energy can be self-consistently derived from the density estimate. We then show how to interpret these equations using the basic SPH interpolation formulae and highlight the subtle difference in approach between SPH and other particle methods. In doing so, we also critique several 'urban myths' regarding SPH, in particular the idea that one can simply increase the 'neighbour number' more slowly than the total number of particles in order to obtain convergence. We also discuss the origin of numerical instabilities such as the pairing and tensile instabilities. Finally, we give practical advice on how to resolve three of the main issues with SPMHD: removing the tensile instability, formulating dissipative terms for MHD shocks and enforcing the divergence constraint on the particles, and we give the current status of developments in this area. Accompanying the paper is the first public release of the ndspmhd SPH code, a 1, 2 and 3 dimensional code designed as a testbed for SPH/SPMHD algorithms that can be used to test many of the ideas and used to run all of the numerical examples contained in the paper.

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Metadata

Authors
Price, D. J.
Venue
Journal of Computational Physics
Publisher
Elsevier BV
Published
2012-02
Volume
231
Issue
3
Pages
759-794
ISSN
0021-9991 (ISSN-L)
OpenAlex
W2114983066
Cited by
720
References
2
FWCI
20.53
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Smoothed particle hydrodynamics and magnetohydrodynamics. https://app.cochat.ai/papers/10.1016/j.jcp.2010.12.011
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Price, D. J. (2012). Smoothed particle hydrodynamics and magnetohydrodynamics. Journal of Computational Physics. https://doi.org/10.1016/j.jcp.2010.12.011

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.